How to Use the Browserbear MCP in VS Code Copilot

Q: How do I share Browserbear configurations with my team in VS Code Copilot?

You can commit a .vscode/mcp.json file containing the MCP Server config directly to your Git repository. Every developer on your team using VS Code Copilot will instantly gain access to the tools upon opening the workspace.

Q: Can VS Code Copilot monitor active Browserbear automation runs?

Yes, the agent can call getrun to check the status of any active job. It will display the execution results, including any scraped text or extracted images, directly inside your chat panel.

Q: How do I check our team's Browserbear API usage within VS Code Copilot?

Run the getaccountusage tool through the chat interface. The agent will fetch your current billing cycle statistics, showing exactly how many runs and screenshots your team has consumed.

Q: Is there a way to delete run logs using this extension?

Yes. The deleterun tool lets you remove specific run records from your history directly through a chat command.

Run browser automation and fetch scraped data directly within VS Code Copilot.

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Connect Browserbear MCP to VS Code Copilot

Create your Vinkius account to connect Browserbear to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Browserbear with VS Code Copilot

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Trigger remote web automation from VS Code Copilot

The `run_task` tool initiates any pre-built browser automation directly from your editing workspace. VS Code Copilot sends the execution request to the remote browser cluster, freeing your local machine from heavy rendering tasks. Once the run starts, the agent uses `list_runs` to track active jobs across your entire team. This lets everyone monitor shared scraping pipelines via the MCP Server without leaving the code editor.

Analyze visual layouts with an integrated MCP Server

The `take_screenshot` tool captures a full-page visual render of any public URL on demand. VS Code Copilot receives the image directly, letting you inspect UI layouts or verify rendering bugs without switching to an external browser. This is especially useful for checking how your staging deployments render on different viewports. The agent handles the request in the background while you focus on writing code.

Map out your scraping workflows and project structures

The `list_projects` tool pulls all project folders from your account to help organize your automation workflows. Your agent uses this structure along with `list_tasks` to locate the exact scraping templates required for your application. This keeps your team's workspace organized and ensures everyone uses the correct task IDs. It eliminates configuration drift by pulling the source of truth directly from the API.

Setup guide

Set up Browserbear MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Browserbear MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Browserbear tools listed. Try asking: "List my recent Browserbear transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "browserbear-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browserbear. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Browserbear MCP in VS Code Copilot

You can commit a `.vscode/mcp.json` file containing the MCP Server config directly to your Git repository. Every developer on your team using VS Code Copilot will instantly gain access to the tools upon opening the workspace.

Yes, the agent can call `get_run` to check the status of any active job. It will display the execution results, including any scraped text or extracted images, directly inside your chat panel.

Run the `get_account_usage` tool through the chat interface. The agent will fetch your current billing cycle statistics, showing exactly how many runs and screenshots your team has consumed.

Yes. The `delete_run` tool lets you remove specific run records from your history directly through a chat command.

This MCP Server handles all connections using secure, single-token authentication through the Vinkius gateway. Your scraped HTML payloads, screenshots, and account usage metrics are processed entirely in memory and are never stored on Vinkius servers.

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